CADETProcess.optimization.U_NSGA3

class CADETProcess.optimization.U_NSGA3(seed, pop_size, xtol, ftol, cvtol, n_max_gen, n_skip, x_tol, f_tol, cv_tol, n_max_iter, progress_frequency, n_max_evals, similarity_tol, parallelization_backend)

Attributes:

aggregated_parameters

dict: Aggregated parameters of the instance.

cv_tol

cvtol

f_tol

ftol

missing_parameters

list: Parameters that are required but not set.

n_cores

int: Proxy to the number of cores used by the parallelization backend.

n_max_evals

n_max_gen

n_max_iter

n_skip

options

dict: Optimizer options.

parallelization_backend

parameters

dict: Parameters of the instance.

polynomial_parameters

dict: Polynomial parameters of the instance.

pop_size

progress_frequency

required_parameters

list: Parameters that have no default value.

seed

similarity_tol

sized_parameters

dict: Sized parameters of the instance.

specific_options

dict: Optimizer spcific options.

x_tol

xtol

Methods

check_optimization_problem(optimization_problem)	Check if problem is configured correctly and supported by the optimizer.
check_required_parameters()	Verify if all required parameters are set.
check_x0(optimization_problem, x0)	Check the initial guess x0 for an optimization problem.
optimize(optimization_problem[, x0, ...])	Solve OptimizationProblem.
run(optimization_problem[, x0])	Solve optimization problem using functional pymoo implementation.
run_post_processing(X_transformed, ...[, ...])	Run post-processing of generation.

get_max_number_of_generations
get_population_size
run_final_processing